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Journal of Electronic Imaging

Digital image stabilization in mountain areas using complete ensemble empirical mode decomposition with adaptive noise and structural similarity
Author(s): Duo Hao; Qiuming Li; Chengwei Li
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Paper Abstract

Cameras mounted on scouting vehicles frequently suffer from image shake because of unintentional motions. Image shake is a main source of inaccuracies that lead to bad scouting results, particularly in mountain areas with complicated terrains. To overcome this disadvantage, this study proposes a digital image stabilization method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and structural similarity (SSIM) to generate a stable scouting video sequence. The proposed method first calculates the global motion vector (GMV) from a scouting video sequence using the bit-plane matching algorithm. To separate jitter motion from intentional motion, we decompose GMV into several modes using CEEMDAN. Then according to different structural characteristics, SSIM is used to draw a boundary among modes to separate jitter motion from intentional motion. To evaluate stabilization performance in complicated situations, several known methods and the proposed stabilization method are compared. Experimental results show that CEEMDAN outperforms the other stabilization methods under mountain area conditions.

Paper Details

Date Published: 27 May 2016
PDF: 12 pages
J. Electron. Imaging. 25(3) 033007 doi: 10.1117/1.JEI.25.3.033007
Published in: Journal of Electronic Imaging Volume 25, Issue 3
Show Author Affiliations
Duo Hao, Harbin Institute of Technology (China)
Qiuming Li, Harbin Institute of Technology (China)
Chengwei Li, Harbin Institute of Technology (China)


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